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/**
* DESCRIPTION OF THE CLASS
*
* @author Martin Beseda
* @author Martin Mrovec
* @author Michal Kravčenko
* @date 2017 - 2018
*/

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#ifndef NEURON_H_
#define NEURON_H_
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#include "../settings.h"
#include <boost/serialization/base_object.hpp>

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#include <vector>

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/**
* Abstract class representing a general neuron
*/
friend class boost::serialization::access;
void serialize(Archive & ar, const unsigned int version){};
public:
/**
* Destructor of the Neuron object
* this level deallocates the array 'activation_function_parameters'

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* also deallocates the OUTGOING connections
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LIB4NEURO_API virtual ~Neuron();
* Performs the activation function and returns the result

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*/
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LIB4NEURO_API virtual double activate( double x, double b ) = 0;
}; /* end of Neuron class */
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/**

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* Class serving as an interface providing 'activation_function_eval_partial_derivative',
* 'activation_function_eval_derivative', 'get_partial_derivative' and
* 'get_derivative' methods.
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*/
class IDifferentiable {
/**
* Calculates the derivative with respect to the argument, ie the 'potential'
* @return f'(x), where 'f(x)' is the activation function and 'x' = 'potential'
*/

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virtual double activation_function_eval_derivative( double x, double b ) = 0;
/**
* Calculates the derivative with respect to the bias
* @return d/db f'(x), where 'f(x)' is the activation function, 'x' is the 'potential'
* and 'b' is the bias
*/

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virtual double activation_function_eval_derivative_bias( double x, double b ) = 0;

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/**
* Returns a Neuron pointer object with activation function being the partial derivative of
* the activation function of this Neuron object with respect to the argument, i.e. 'potential'
* @return
*/

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}; /* end of IDifferentiable class */
#endif /* NEURON_H_ */